Suchergebnisse - "Deep deterministic policy gradient algorithm"

Decentralized Voltage and Var Control of Active Distribution Network Based on Parameter-Sharing Deep Reinforcement Learning

Autoren: Binqiao Zhang Changlin He

Quelle: IEEE Access, Vol 13, Pp 115090-115101 (2025)

Schlagwörter: Voltage and var control (VVC), parameter sharing, deep reinforcement learning, voltage regulation, Electrical engineering. Electronics. Nuclear engineering, twin-delay deep deterministic policy gradient algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/ce8d6e3433394b32a5e987fc1ddde45f

Learning-based control for tendon-driven continuum robotic arms

Autoren: Nima Maghooli Omid Mahdizadeh Mohammad Bajelani et al.

Quelle: Front Robot AI
Frontiers in Robotics and AI, Vol 12 (2025)

Schlagwörter: Robotics and AI, FOS: Computer and information sciences, sim-to-real transfer, deep reinforcement learning, tendon-driven continuum robots, QA75.5-76.95, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, deep deterministic policy gradient algorithm, Computer Science - Robotics, Electronic computers. Computer science, TJ1-1570, FOS: Electrical engineering, electronic engineering, information engineering, Mechanical engineering and machinery, optimal adaptive gain-tuning system, Robotics (cs.RO), modified transpose Jacobian

Zugangs-URL: http://arxiv.org/abs/2412.04829
https://doaj.org/article/473a3d59e4d448eea4de979d2afd9343

Enhancing Highway Driving: High Automated Vehicle Decision Making in a Complex Multi-Body Simulation Environment

Autoren: Ali Rizehvandi Shahram Azadi Arno Eichberger

Quelle: Modelling, Vol 5, Iss 3, Pp 951-968 (2024)

Schlagwörter: deep deterministic policy gradient algorithm, deep reinforcement learning, Engineering design, TA174, 0502 economics and business, 05 social sciences, highway, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, decision making, carmaker simulator

Zugangs-URL: https://doaj.org/article/f71439355fa041a8adbbee9c401e1c6d

Optimization Research on UAV Semantic Communication System Based on SVD-MADRL

Autoren: Yibo Yang Yahe Tan Liu Liu

Quelle: Drone Systems and Applications, Vol 13, Iss, Pp 1-13 (2025)

Schlagwörter: deep deterministic policy gradient algorithm, power optimization, unmanned aerial vehicle, singular value decomposition, TL1-4050, position deployment, Motor vehicles. Aeronautics. Astronautics

Zugangs-URL: https://doaj.org/article/83a7660c66a74efe95e5c0a008b65539

DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment

Autoren: Zhenlan Dou Chunyan Zhang Xichao Zhou et al.

Quelle: Energies, Vol 18, Iss 14, p 3610 (2025)

Schlagwörter: multi-region interconnected power system, energy storage equipment, load frequency control, first-order active disturbance rejection controller, deep deterministic policy gradient algorithm, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/14/3610; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/fd42a92764ce441289778b8fbd2dac7b

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

Autoren: Touzani, Samir Prakash, Anand Krishnan Wang, Zhe et al.

Quelle: Applied Energy. 304

Schlagwörter: 40 Engineering (for-2020), 4008 Electrical Engineering (for-2020), 7 Affordable and Clean Energy (sdg), Deep reinforcement learning, Deep deterministic policy gradient algorithm, Smart buildings, Control systems, Distributed energy resources, Load flexibility, Energy efficiency, 09 Engineering (for), 14 Economics (for), Energy (science-metrix), 33 Built environment and design (for-2020), 38 Economics (for-2020), 40 Engineering (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/1jr1d7cg
https://escholarship.org/content/qt1jr1d7cg/qt1jr1d7cg.pdf

Research on Game Confrontation of Unmanned Surface Vehicles Swarm Based on Multi-Agent Deep Reinforcement Learning

Autoren: Changdong YU Xinyang LIU Cong CHEN et al.

Quelle: 水下无人系统学报, Vol 32, Iss 1, Pp 79-86 (2024)

Schlagwörter: unmanned surface vehicle swarm, multi-agent deep deterministic policy gradient algorithm, deep reinforcement learning, intelligent decision-making, game confrontation, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2096-3920

Zugangs-URL: https://doaj.org/article/018c9e6c89c14515a342b69917ebb237

Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning

Autoren: Jiawen Li Jian Geng Tao Yu

Quelle: Energy Reports, Vol 8, Iss, Pp 255-274 (2022)

Schlagwörter: Deep reinforcement learning, Multi-agent deep deterministic policy gradient algorithm, Load frequency control, Performance-based frequency regulation market mechanism, Interconnected power grid, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Grid-area coordinated load frequency control strategy, TK1-9971

Zugangs-URL: https://doaj.org/article/3057b574c2604d1f99d1a8bdd951312c

Optimal operation of regional integrated energy system based on multi-agent deep deterministic policy gradient algorithm

Autoren: Bohan Xu Yue Xiang

Quelle: Energy Reports, Vol 8, Iss, Pp 932-939 (2022)

Schlagwörter: Deep deterministic policy gradient algorithm, Multi-agent scheduling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Integrated energy system, 7. Clean energy, TK1-9971

Zugangs-URL: https://doaj.org/article/0cba414a36bd47729997298702948607

Deep Reinforcement Learning-based Trajectory Planning for Manipulator Obstacle Avoidance

Autoren: Cao Yi Guo Yinhui Li Lei et al.

Quelle: Jixie chuandong, Vol 47, Pp 40-46 (2023)

Schlagwörter: Manipulator, Deep reinforcement learning, Obstacle avoidance path planning, Deep deterministic policy gradient algorithm, Mechanical engineering and machinery, TJ1-1570

Dateibeschreibung: electronic resource

Relation: http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.12.006; https://doaj.org/toc/1004-2539

Zugangs-URL: https://doaj.org/article/05a37baed57949dca57c4127b3a77bf0

Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment

Autoren: Ting Qian Cheng Yang

Quelle: Frontiers in Energy Research, Vol 11 (2024)

Schlagwörter: frequency regulation mileage payment, China Southern Grid, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, optimal coordinated control, 02 engineering and technology, 7. Clean energy, automatic generation control, multi-agent deep deterministic policy gradient algorithm, General Works

Zugangs-URL: https://doaj.org/article/b9e0c8a861644655aca927e18ffa6d6e

Experimental Research on the Correction of Vortex Light Wavefront Distortion

Autoren: Yahang Ge Xizheng Ke

Quelle: Photonics, Vol 11, Iss 12, p 1116 (2024)

Schlagwörter: vortex light, wavefront correction, atmospheric turbulence, deep deterministic policy gradient algorithm, Applied optics. Photonics, TA1501-1820

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2304-6732/11/12/1116; https://doaj.org/toc/2304-6732

Zugangs-URL: https://doaj.org/article/c902a9bee6da4ce6a7de443998f116c0

Deep Deterministic Policy Gradient Algorithm Based Wind-Photovoltaic-Storage Hybrid System Joint Dispatch

Autoren: Shuxing ZHANG Chi MA Zhixue YANG et al.

Quelle: Zhongguo dianli, Vol 56, Iss 2, Pp 68-76 (2023)

Schlagwörter: wind-photovoltaic-storage hybrid system, joint scheduling strategy, uncertainty, deep reinforcement learning, deep deterministic policy gradient algorithm, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202107065; https://doaj.org/toc/1004-9649

Zugangs-URL: https://doaj.org/article/3f6cb4e5fa2d47139a3c84e500922893

Adaptive Control of Ships’ Oil-Fired Boilers Using Flame Image-Based IMC-PID and Deep Reinforcement Learning

Autoren: Chang-Min Lee Byung-Gun Jung

Quelle: Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1603 (2024)

Schlagwörter: combustion control, emission prediction, IMC-based PID, real-time control, image-based control, deep deterministic policy gradient algorithm, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

Relation: https://www.mdpi.com/2077-1312/12/9/1603; https://doaj.org/toc/2077-1312; https://doaj.org/article/33b1ca9297fd4aea8480f40a09d8e92a

Verfügbarkeit: https://doi.org/10.3390/jmse12091603
https://doaj.org/article/33b1ca9297fd4aea8480f40a09d8e92a

Research on Bidding Strategy of Thermal Power Companies in Electricity Market Based on Multi-Agent Deep Deterministic Policy Gradient

Autoren: Dunnan Liu Yuan Gao Weiye Wang et al.

Quelle: IEEE Access, Vol 9, Pp 81750-81764 (2021)

Schlagwörter: Electricity market, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, bidding strategy, multi agent reinforcement learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, multi agent deep deterministic policy gradient algorithm, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09446123.pdf
https://doaj.org/article/57f1a38b0f7d4f5082a6babe7ee878ae
https://ieeexplore.ieee.org/document/9446123/
https://dblp.uni-trier.de/db/journals/access/access9.html#LiuGWD21

Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm

Autoren: Qian Shi Hak-Keung Lam Chengbin Xuan et al.

Quelle: Neurocomputing. 402:183-194

Schlagwörter: Cart-pole system, Fuzzy PID controller, Reinforcement learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Twin delayed deep deterministic policy gradient algorithm, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/ijon/ijon402.html#ShiLXC20
https://www.sciencedirect.com/science/article/pii/S0925231220304367

Collision avoidance path planning of tourist ship based on DDPG algorithm

Autoren: Yi ZHOU Chuanping YUAN Haicheng XIE et al.

Quelle: Zhongguo Jianchuan Yanjiu, Vol 16, Iss 6, Pp 19-26 (2021)

Schlagwörter: mixed channel, ship domain, ship collision avoidance, deep deterministic policy gradient algorithm, failure area exploration strategy, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1673-3185

Zugangs-URL: https://doaj.org/article/16c791fb5ded4ca19d9149213744d84a

An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms

Autoren: Ruyi Dong Junjie Du Yanan Liu et al.

Quelle: Front Neuroinform
Frontiers in Neuroinformatics, Vol 17 (2023)

Schlagwörter: deep deterministic policy gradient algorithm, 0209 industrial biotechnology, reward function, experience replay mechanism, 0202 electrical engineering, electronic engineering, information engineering, Neurosciences. Biological psychiatry. Neuropsychiatry, robotic arm, 02 engineering and technology, intelligent control, artificial intelligence, RC321-571, Neuroscience

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36756212
https://doaj.org/article/8afc2f2df1304ce6b4a4974962d6b632

Study on Optimization Design of Airfoil Transonic Buffet with Reinforcement Learning Method

Autoren: Hao Chen Chuanqiang Gao Jifei Wu et al.

Quelle: Aerospace, Vol 10, Iss 5, p 486 (2023)

Schlagwörter: transonic buffet, reinforcement learning, airfoil optimization design, computational fluid dynamics, deep deterministic policy gradient algorithm, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Relation: https://www.mdpi.com/2226-4310/10/5/486; https://doaj.org/toc/2226-4310; https://doaj.org/article/ed3cbb75f2ba48af93e862d4c6debb94

Verfügbarkeit: https://doi.org/10.3390/aerospace10050486
https://doaj.org/article/ed3cbb75f2ba48af93e862d4c6debb94

Research on the Dynamic Characteristics Analysis and Power Control Method of Heat Pipe Reactors

Autoren: Shaoxuan Yin Ren Yu Dongjie Sheng et al.

Quelle: Applied Sciences, Vol 13, Iss 11284, p 11284 (2023)

Schlagwörter: heat pipe reactor, thermal resistance network, dynamic characteristic, nuclear power control, twin delayed deep deterministic policy gradient algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/20/11284; https://doaj.org/toc/2076-3417; https://doaj.org/article/c355602720a04e3cbe14a7d60eba4450

Verfügbarkeit: https://doi.org/10.3390/app132011284
https://doaj.org/article/c355602720a04e3cbe14a7d60eba4450